DocumentCode
2142400
Title
Models and methods for prediction problem of evolving graphs
Author
Chapanond, Anurat ; Krishnamoorthy, Mukkai S.
Author_Institution
Comput. Sci. Dept. Rensselaer Polytech. Inst. Troy, New York, NY
fYear
2008
fDate
17-20 June 2008
Firstpage
188
Lastpage
190
Abstract
This paper concentrates on the prediction problem of evolving graphs. We provide five new models and methods for prediction problem of evolving graphs. We experiment each method on real-world evolving graph data which are football competition data, file sharing data, Enron e-mail data, and Eurovision data. Experimental results show that our prediction methods can predict the result with higher accuracy than the random prediction.
Keywords
graph theory; prediction theory; Enron e-mail data; Eurovision data; file sharing data; football competition data; prediction problem; real-world evolving graph; Artificial intelligence; Computer science; Government; Information analysis; Internet; Partial response channels; Peer to peer computing; Predictive models; Statistical analysis; Uniform resource locators;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics, 2008. ISI 2008. IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
978-1-4244-2414-6
Electronic_ISBN
978-1-4244-2415-3
Type
conf
DOI
10.1109/ISI.2008.4565052
Filename
4565052
Link To Document